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ORCIDRüdiger Mutz
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2020 – today
- 2022
[j36]Rüdiger Mutz
:
Diversity and interdisciplinarity: Should variety, balance and disparity be combined as a product or better as a sum? An information-theoretical and statistical estimation approach. Scientometrics 127(12): 7397-7414 (2022)- 2021
- [j35]Lutz Bornmann, Rüdiger Mutz, Robin Haunschild, Félix de Moya-Anegón, Mirko de Almeida Madeira Clemente, Moritz Stefaner:
Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores. Scientometrics 126(11): 9305-9331 (2021) - [i13]Lutz Bornmann, Rüdiger Mutz, Robin Haunschild, Félix de Moya-Anegón, Mirko de Almeida Madeira Clemente, Moritz Stefaner:
Mapping the impact of papers on various status groups: A new excellence mapping tool based on citation and reader scores. CoRR abs/2103.10225 (2021) - [i12]Grischa Fraumann, Rüdiger Mutz:
The h-index. CoRR abs/2112.02175 (2021) - 2020
- [j34]Lutz Bornmann, Robin Haunschild, Rüdiger Mutz:
Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching. J. Informetrics 14(4): 101098 (2020) - [i11]Lutz Bornmann, Rüdiger Mutz, Robin Haunschild:
Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases. CoRR abs/2012.07675 (2020)
2010 – 2019
- 2019
- [j33]Lutz Bornmann, Robin Haunschild, Rüdiger Mutz:
MHq indicators for zero-inflated count data - A response to the comment by Smolinsky (in press). J. Informetrics 13(1): 464-465 (2019) - [j32]Rüdiger Mutz, Hans-Dieter Daniel:
How to consider fractional counting and field normalization in the statistical modeling of bibliometric data: A multilevel Poisson regression approach. J. Informetrics 13(2): 643-657 (2019) - [c1]Rüdiger Mutz, Hans-Dieter Daniel:
How Should We Measure Individual Researcher's Performance Capacity Within and Between Universities? - Social Sciences as an Example? A Multilevel Extension of the Bibliometric Quotient (BQ). ISSI 2019: 1098-1109 - [i10]Lutz Bornmann, Robin Haunschild, Rüdiger Mutz:
Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching. CoRR abs/1910.11706 (2019) - 2018
- [j31]Lutz Bornmann, Robin Haunschild, Rüdiger Mutz:
MHq indicators for zero-inflated count data - A response to Smolinsky and Marx (2018). J. Informetrics 12(3): 1012-1014 (2018) - [j30]Rüdiger Mutz, Hans-Dieter Daniel:
The bibliometric quotient (BQ), or how to measure a researcher's performance capacity: A Bayesian Poisson Rasch model. J. Informetrics 12(4): 1282-1295 (2018) - [j29]Andreas Thor, Lutz Bornmann, Werner Marx, Rüdiger Mutz:
Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer. Scientometrics 116(1): 591-608 (2018) - [i9]Andreas Thor, Lutz Bornmann, Werner Marx, Rüdiger Mutz:
Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. CoRR abs/1801.08720 (2018) - 2017
- [j28]Rüdiger Mutz, Tobias Wolbring, Hans-Dieter Daniel:
The effect of the "very important paper" (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis. J. Assoc. Inf. Sci. Technol. 68(9): 2139-2153 (2017) - [j27]Rüdiger Mutz, Lutz Bornmann, Hans-Dieter Daniel:
Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data. J. Informetrics 11(3): 613-628 (2017) - 2016
- [j26]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully. J. Informetrics 10(1): 312-327 (2016) - [j25]Rüdiger Mutz:
Some further aspects of sampling: Comment on Williams and Bornmann. J. Informetrics 10(4): 1241-1242 (2016) - 2015
- [j24]Rüdiger Mutz, Hans-Dieter Daniel:
What is behind the curtain of the Leiden Ranking? J. Assoc. Inf. Sci. Technol. 66(9): 1950-1953 (2015) - [j23]Lutz Bornmann, Rüdiger Mutz:
Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. J. Assoc. Inf. Sci. Technol. 66(11): 2215-2222 (2015) - [j22]Rüdiger Mutz, Lutz Bornmann, Hans-Dieter Daniel:
Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund. J. Assoc. Inf. Sci. Technol. 66(11): 2321-2339 (2015) - [j21]Lutz Bornmann, Rüdiger Mutz:
How well does a university perform in comparison with its peers? The use of odds, and odds ratios, for the comparison of institutional citation impact using the Leiden Rankings. J. Assoc. Inf. Sci. Technol. 66(12): 2711-2713 (2015) - [i8]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
Excellence networks in science: A web-based application (www.excellence-networks.net) for the identification of institutions collaborating successfully. CoRR abs/1508.03950 (2015) - 2014
- [j20]Lutz Bornmann, Rüdiger Mutz:
From P100 to P100': A new citation-rank approach. J. Assoc. Inf. Sci. Technol. 65(9): 1939-1943 (2014) - [j19]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused institutions worldwide. J. Informetrics 8(3): 581-593 (2014) - [j18]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers: A visualisation of results from multi-level models. Online Inf. Rev. 38(1): 43-58 (2014) - [i7]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused institutions worldwide. CoRR abs/1401.2866 (2014) - [i6]Andreas Barth, Werner Marx, Lutz Bornmann, Rüdiger Mutz:
On the origins and the historical roots of the Higgs boson research from a bibliometric perspective. CoRR abs/1402.4223 (2014) - [i5]Lutz Bornmann, Rüdiger Mutz:
Growth rates of modern science: A bibliometric analysis. CoRR abs/1402.4578 (2014) - 2013
- [j17]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Multilevel-statistical reformulation of citation-based university rankings: The Leiden ranking 2011/2012. J. Assoc. Inf. Sci. Technol. 64(8): 1649-1658 (2013) - [j16]Lutz Bornmann, Félix de Moya-Anegón, Rüdiger Mutz:
Do Universities or Research Institutions With a Specific Subject Profile Have an Advantage or a Disadvantage in Institutional Rankings? A Latent Class Analysis With Data From the SCImago Ranking. J. Assoc. Inf. Sci. Technol. 64(11): 2310-2316 (2013) - [j15]Lutz Bornmann, Rüdiger Mutz:
The advantage of the use of samples in evaluative bibliometric studies. J. Informetrics 7(1): 89-90 (2013) - [j14]Lutz Bornmann, Loet Leydesdorff, Rüdiger Mutz:
The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits. J. Informetrics 7(1): 158-165 (2013) - [i4]Lutz Bornmann, Rüdiger Mutz:
Conceptual funding of a new citation-rank approach in bibliometrics: P100. CoRR abs/1307.0667 (2013) - 2012
- [j13]Rüdiger Mutz, Hans-Dieter Daniel:
Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor. J. Informetrics 6(2): 169-176 (2012) - [j12]Rüdiger Mutz, Hans-Dieter Daniel:
The generalized propensity score methodology for estimating unbiased journal impact factors. Scientometrics 92(2): 377-390 (2012) - [i3]Lutz Bornmann, Loet Leydesdorff, Rüdiger Mutz:
The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits. CoRR abs/1211.0381 (2012) - [i2]Lutz Bornmann, Moritz Stefaner, Félix de Moya-Anegón, Rüdiger Mutz:
Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers: A visualization of results from multi-level models. CoRR abs/1212.0304 (2012) - 2011
- [j11]Loet Leydesdorff, Lutz Bornmann, Rüdiger Mutz, Tobias Opthof:
Turning the tables on citation analysis one more time: Principles for comparing sets of documents. J. Assoc. Inf. Sci. Technol. 62(7): 1370-1381 (2011) - [j10]Lutz Bornmann, Rüdiger Mutz:
Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization. J. Informetrics 5(1): 228-230 (2011) - [j9]Lutz Bornmann, Rüdiger Mutz, Sven E. Hug, Hans-Dieter Daniel:
A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants. J. Informetrics 5(3): 346-359 (2011) - [i1]Loet Leydesdorff, Lutz Bornmann, Rüdiger Mutz, Tobias Opthof:
Normalizing the measurement of citation performance: Principles for comparing sets of documents. CoRR abs/1101.3863 (2011) - 2010
- [j8]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
The h index research output measurement: Two approaches to enhance its accuracy. J. Informetrics 4(3): 407-414 (2010)
2000 – 2009
- 2009
- [j7]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Do we need the h index and its variants in addition to standard bibliometric measures? J. Assoc. Inf. Sci. Technol. 60(6): 1286-1289 (2009) - [j6]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models. Scientometrics 81(2): 407-411 (2009) - 2008
- [j5]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. J. Assoc. Inf. Sci. Technol. 59(5): 830-837 (2008) - [j4]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Latent Markov modeling applied to grant peer review. J. Informetrics 2(3): 217-228 (2008) - [j3]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
How to detect indications of potential sources of bias in peer review: A generalized latent variable modeling approach exemplified by a gender study. J. Informetrics 2(4): 280-287 (2008) - 2007
- [j2]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Gender differences in grant peer review: A meta-analysis. J. Informetrics 1(3): 226-238 (2007) - [j1]Lutz Bornmann, Rüdiger Mutz, Hans-Dieter Daniel:
Row-column (RC) association model applied to grant peer review. Scientometrics 73(2): 139-147 (2007)
Coauthor Index
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